Reliability Data Analytics Intern

Progress Rail, A Caterpillar Company; La Grange (IL); On-site; USD 30,000 - 50,000; Part time

Benefits offered by this job

401(k) plan with company match

Medical/Dental/Vision Insurance

Paid Vacation

Paid Holidays

Paid Time Off

Education Assistance

Relocation/Sign-on (as applicable)

Job summary

Progress Rail, a Caterpillar company, located in LaGrange, IL, offers a student internship to support reliability engineering projects during vacation periods. The role involves data collection, statistical analysis, and collaboration with design and operations teams in a traditional office setting with potential manufacturing floor exposure.

Applicants should be pursuing an engineering degree with statistical training and strong MS Office skills; good interpersonal and analytical abilities are

Qualifications

• Knowledge of standard Microsoft applications.
• Medium level interpersonal skills to work effectively with others.
• Medium level of analytical ability where problems are unusual and difficult.
• Pursuing an engineering college degree and statistical training are required.

Responsibilities

• Complete assignments within a department or activity using your academic discipline.
• Assist in test data collection and analysis for Closed Loop Corrective Action.
• Assist development of reliability mathematical models.
• Maintain reports for management review.
• Apply statistics to problem solving.
• Work cooperatively with other personnel.
• Collaborate with design engineers on reliability verification artifacts.
• Demonstrate adaptability in a dynamic environment.

Skills

MS Office

Interpersonal skills

Analytical ability

Education

Pursuing engineering degree

Statistical training

Job description

Progress Rail, a Caterpillar company, located in LaGrange, IL, offers a student internship to support reliability engineering projects during vacation periods. The role involves data collection, statistical analysis, and collaboration with design and operations teams in a traditional office setting with potential manufacturing floor exposure.

Applicants should be pursuing an engineering degree with statistical training and strong MS Office skills; good interpersonal and analytical abilities are